Integrated Data Science Certificate Requirements

To complete the Integrated Data Science (IDS) Certificate requirements, students will take five courses including at least one course from group A, at least two courses from group B, at least one course from group C, and a fifth course from any group. The courses currently available in each curriculum group are described below, developed in connection to the NSF IDEAS traineeship.

Group A. Data Challenges in Domain Disciplines

DATA SCI-401: Data-Driven Research in Physics, Geophysics, and Astronomy
This course will integrate the domain-focused projects in P&A (Physics & Astronomy) and EPS (Earth and Planetary Sciences) and will be team-taught by one professor from P&A and one from EPS. This course will cover one quarter of material, but be spread over 2 quarters (Fall and Winter every year). It will focus on the science motivation and goals that unite three distinct research projects: LSST, aLIGO, and EarthScope. It will focus on principles and methods of data analysis. Spreading the course over two quarters will allow alignment and further interdisciplinary integration with DATA SCI 421 and DATA SCI 422.